Eye-Movement-Controlled Wheelchair Based on Flexible Hydrogel Biosensor and WT-SVM

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ID: 266837
2021
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Abstract
To assist patients with restricted mobility to control wheelchair freely, this paper presents an eye-movement-controlled wheelchair prototype based on a flexible hydrogel biosensor and Wavelet Transform-Support Vector Machine (WT-SVM) algorithm. Considering the poor deformability and biocompatibility of rigid metal electrodes, we propose a flexible hydrogel biosensor made of conductive HPC/PVA (Hydroxypropyl cellulose/Polyvinyl alcohol) hydrogel and flexible PDMS (Polydimethylsiloxane) substrate. The proposed biosensor is affixed to the wheelchair user’s forehead to collect electrooculogram (EOG) and strain signals, which are the basis to recognize eye movements. The low Young’s modulus (286 KPa) and exceptional breathability (18 g m−2 h−1 of water vapor transmission rate) of the biosensor ensures a conformal and unobtrusive adhesion between it and the epidermis. To improve the recognition accuracy of eye movements (straight, upward, downward, left, and right), the WT-SVM algorithm is introduced to classify EOG and strain signals according to different features (amplitude, duration, interval). The average recognition accuracy reaches 96.3%, thus the wheelchair can be manipulated precisely.
Reference Key
wang2021biosensorseye-movement-controlled Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Xiaoming Wang;Yineng Xiao;Fangming Deng;Yugen Chen;Hailiang Zhang;Wang, Xiaoming;Xiao, Yineng;Deng, Fangming;Chen, Yugen;Zhang, Hailiang;
Journal Biosensors
Year 2021
DOI
10.3390/bios11060198
URL
https://doi.org/10.3390/bios11060198
Keywords
flexible hydrogel biosensor human-wheelchair interaction eye movement detection signal classification algorithm

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